Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Practice in which incremental code changes are made frequently and reliably
Compare two database definitions and apply the differences from the source to the target
Collaborative data management practice
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
These guys provide an amazing tree-like structure of the data. Whenever required, it puts me on the origin of the data with just a few clicks! The lineage of the data is so attractive and satisfying to watch; It could make a layman understand the whole process like a piece of cake!
Impressive. Thanks, 4DAlert.
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